Anjishnu Kumar (@anjishnu)
  • Stars
    star
    332
  • Global Rank 81,582 (Top 3 %)
  • Followers 40
  • Following 6
  • Registered about 12 years ago
  • Most used languages
    Python
    85.7 %
    Java
    7.1 %
    Shell
    7.1 %
  • Location πŸ‡ΊπŸ‡Έ United States
  • Country Total Rank 19,929
  • Country Ranking
    Python
    3,698

Top repositories

1

ask-alexa-pykit

A minimalist SDK for developing skills for the Amazon Echo's ASK - Alexa Skills Kit using Amazon Web Services's Python Lambda Functions. Currently supported profiles are for Linux servers and AWS Lambda. Check the appropriate release branch. The cherrypy release branches have added components for request validation.
Python
273
star
2

Crackr

Keyword Extraction system using Brown Clustering - (This version is trained to extract keywords from job listings)
Python
18
star
3

ask-alexa-twitter

Use Amazon Echo's alexa skills kit (ASK) SDK to post messages to twitter and read out your top tweets. Built using the library- https://github.com/anjishnu/ask-alexa-pykit
Python
13
star
4

Perspectiv

A visualization library focusing on simplicity.
Python
6
star
5

surreal

Deep Learning based Image Super Resolution using DCGANs in Keras
Python
5
star
6

ask-useful-science

Alexa skill for http://www.usefulscience.org/ summarizes research results in an understandable form. Built using ask-alexa-pykit.
Python
3
star
7

TweetTube

Barebones cloud based video-microblogging website- First prototype is up!
Java
2
star
8

pu-learn

A library for learning classifiers only with positive and unlabeled data. Adheres to the scikit-learn API
2
star
9

Schemer

Scheme (LISP) Interpreter, written in Python
Python
2
star
10

neural-hacker-typer

A hacker typer module for the command line using state of the art neural language modeling models
Python
2
star
11

PacmanAIProjects

Contains code for a variety of Pacman AIs utilizing algorithms and techniques ranging from A*star Search and Decision Trees to Reinforcement Learning.
Python
2
star
12

NLP-MT

Python Implementation of the IBM Model-1 and Model-2: Two seminal Machine Translation Systems.
Python
1
star
13

micro-LRU

Algorithmically optimal LRU cache implementation in 70 lines of python
Python
1
star
14

autodiff

Minimalist Library implementing automatic tensor differentiation for Numpy (e.g. in MxNet and PyTorch) in less than 200 lines of code. Good for anyone who wants to learn the concepts without wading through huge codebases.
Python
1
star
15

bash-generics

Generic utilities I've found useful for terminal operation
Shell
1
star